ArticleGenetics, selection, evolution : GSE2022
Using egg production longitudinal recording to study the genetic background of resilience in purebred and crossbred laying hens.
Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Comparative analysis of physiological, biochemical and immunological responses to heat stress in hybrid and purebred ducks in tropical environments.Veterinary and animal science · 2026Article
- Genetic parameters for alternative resilience phenotypes in Holstein cows.JDS communications · 2026Article
- Estimating the genetic parameters of resilience toward known and unknown disturbances in sheep using wool fibre diameter and body weight variability.Genetics, selection, evolution : GSE · 2025Article
- Selection for Resilience in Livestock Production Systems.International journal of molecular sciences · 2024Review
- Analysis of the genetic variance of fibre diameter measured along the wool staple for use as a potential indicator of resilience in sheep.Genetics, selection, evolution : GSE · 2024Article
- Dare to be resilient: the key to future pesticide-free orchards?Journal of experimental botany · 2024Review
- Genetic parameters for novel climatic resilience indicators derived from automatically-recorded vaginal temperature in lactating sows under heat stress conditions.Genetics, selection, evolution : GSE · 2024Article
- Potential of guar gum as a leaky gut model in broilers: Digestibility, performance, and microbiota responses.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2024Article
- Proteo-transcriptomic profiles reveal key regulatory pathways and functions of LDHA in the ovulation of domestic chickens (Gallus gallus).Journal of animal science and biotechnology · 2024Article
- The genetics of resilience and its relationships with egg production traits and antibody traits in chickens.Genetics, selection, evolution : GSE · 2024Article
- Identification and characterization of unknown disturbances in a structured population using high-throughput phenotyping data and measurement of robustness: application to growing pigs.Journal of animal science · 2024Article
- Disentangling the dynamics of energy allocation to develop a proxy for robustness of fattening pigs.Genetics, selection, evolution : GSE · 2023Article
- A promising resilience parameter for breeding: the use of weight and feed trajectories in growing pigs.Journal of animal science and biotechnology · 2023Article
- Genomic evaluation for two-way crossbred performance in cattle.Genetics, selection, evolution : GSE · 2023Article
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7 authors.
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Abstract
backgroundThere is growing interest in using genetic selection to obtain more resilient farm animals (i.e. that are minimally affected by disturbances or rapidly recover from them). The aims of this study were to: (i) estimate the genetic parameters of resilience indicator traits based on egg production data, (ii) assess whether these traits are genetically correlated in purebreds and crossbreds, and (iii) assess the genetic correlations of these traits with egg production (EP) as total number of eggs between 25 and 83 weeks. Purebred hens (33,825 from a White Leghorn (WA) line and 34,397 from a Rhode Island (BD) line were housed in individual cages, while crossbred hens were housed in collective cages of 6 to 8 paternal half-sibs (12,852 WA and 3898 BD crossbred groups, where the name of the group refers to the line used as the sire). Deviations of a hen's weekly egg production from the average of the corresponding batch were calculated. Resilience indicator traits investigated were the natural logarithm of the variance (LNVAR), the skewness (SKEW), and the lag-one autocorrelation (AUTO-R) of these deviations.
resultsIn both purebred lines, EP was estimated to be lowly heritable (WA: 0.11 and BD: 0.12). Resilience indicators were also estimated to be lowly heritable in both lines (LNVAR: 0.10 and 0.12, SKEW: 0.04 and 0.02, AUTO-R: 0.06 and 0.08 in WA and BD, respectively). In both crossbred groups, EP, AUTO-R, and SKEW were estimated to be less heritable than in purebreds (EP: [Formula: see text] ≤ 0.07; and resilience indicator traits: [Formula: see text] ≤ 0.03), while LNVAR had an [Formula: see text] estimate that was similar to or higher in crossbreds ([Formula: see text] ranged from 0.13 to 0.21) than in purebreds. In both purebreds and crossbreds, resilience indicator traits were estimated to have favorable genetic correlations with EP and between each other. For all traits and in both lines, estimates of genetic correlations between purebreds and crossbreds ([Formula: see text]) differed from 1 and ranged from 0.16 to 0.63.
conclusionsThese results show that selection for resilience based on EP data can be considered in breeding programs for layers. Genetic improvement of resilience in crossbreds can be achieved by using information on purebreds, but would be greatly enhanced by the integration of information on crossbreds in breeding programs.
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